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Text available via DOI:
Particle filters and beamforming for EEG source estimation
Research output: Contribution in Book/Report/Proceedings › Paper
Published
Associated organisational units
| Publication date | 1/06/2012 |
|---|---|
| Host publication | Neural Networks (IJCNN), The 2012 International Joint Conference on |
| Place of publication | Brisbane, Australia |
| Publisher | IEEE |
| Pages | 1-8 |
| Number of pages | 8 |
| ISBN (Electronic) | 978-1-4673-1489-3 |
| ISBN (Print) | 978-1-4673-1488-6 |
| Original language | English |
Conference
| Conference | 2012 IEEE World Congress on Computational Intelligence |
|---|---|
| Country | Australia |
| City | Brisbane |
| Period | 10/06/12 → 15/06/12 |
Conference
| Conference | 2012 IEEE World Congress on Computational Intelligence |
|---|---|
| Country | Australia |
| City | Brisbane |
| Period | 10/06/12 → 15/06/12 |
Abstract
This is a proof of concept work that proposes a solution to the inverse problem of EEG source estimation by combining two techniques, namely a Particle Filter (PF) for geometrical (3D) localization of the most active brain zones (expressed by two dipoles) and a beamformer (BF) as a spatial filter for estimation of the oscillations that have originated the recorded EEG data. The estimation is reliable for uncorrelated brain sources.